Oltre alle opinioni binarie: Un profondo approccio basato sull'apprendimento per il rinforzo a Massimizzazione dell'influenza competitiva consapevole dell'incertezza
La massimizzazione dell'influenza competitiva (CIM) Il problema coinvolge più entità in competizione per l'influenza nei social network online (OSNS). Mentre l'apprendimento di rinforzo profondo (Dr) ha mostrato promesse, I metodi esistenti assumono spesso utenti’ Le opinioni sono binarie e ignorano il loro comportamento e la conoscenza precedente. We propose...
Apprendimento federato bayesiano per la formazione continua
Apprendimento federato bayesiano (Bfl) consente la quantificazione dell'incertezza e l'adattamento robusto nell'apprendimento distribuito. Contrariamente all'approccio frequentista, Stima la distribuzione posteriore di un modello globale, Offrire approfondimenti sull'affidabilità del modello. Tuttavia, current BFL methods neglect continual learning challenges in...
EasyEdit2: An Easy-to-use Steering Framework for Editing Large Language Models
In this paper, we introduce EasyEdit2, a framework designed to enable plug-and-play adjustability for controlling Large Language Model (LLM) behaviors. EasyEdit2 supports a wide range of test-time interventions, including safety, sentiment, personality, reasoning patterns, factuality, and language features. Unlike its predecessor, EasyEdit2...
Fully connected twin-field quantum key distribution network
Quantum key distribution (QKD) is a key application in quantum communication, enabling secure key exchange between parties using quantum states. Twin-field (TF) QKD offers a promising solution that surpasses the repeaterless limits, and its measurement-device-independent nature makes it suitable for star-type network...
Automatic Generation of Aerobatic Flight in Complex Environments via Diffusion Models
Performing striking aerobatic flight in complex environments demands manual designs of key maneuvers in advance, which is intricate and time-consuming as the horizon of the trajectory performed becomes long. This paper presents a novel framework that leverages diffusion models to automate and...
Breaking Down Quantum Compilation: Profiling and Identifying Costly Passes
With the increasing capabilities of quantum systems, the efficient, practical execution of quantum programs is becoming more critical. Each execution includes compilation time, which accounts for substantial overhead of the overall program runtime. To address this challenge, proposals that leverage precompilation techniques...
Deterministic Depth-4 PIT and Normalization
In this paper, we initiate the study of deterministic PIT for $\Sigma^{[k]}\Pi\Sigma\Pi^{[\delta]}$ circuits over fields of any characteristic, where $k$ and $\delta$ are bounded. Our main result is a deterministic polynomial-time black-box PIT algorithm for $\Sigma^{[3]}\Pi\Sigma\Pi^{[\delta]}$ circuits, under the additional condition that...
C2RUST-BENCH: A Minimized, Representative Dataset for C-to-Rust Transpilation Evaluation
Despite the effort in vulnerability detection over the last two decades, memory safety vulnerabilities continue to be a critical problem. Recent reports suggest that the key solution is to migrate to memory-safe languages. To this end, C-to-Rust transpilation becomes popular to resolve...
The Iterative Chainlet Partitioning Algorithm for the Traveling Salesman Problem with Drone and Neural Acceleration
This study introduces the Iterative Chainlet Partitioning (ICP) algorithm and its neural acceleration for solving the Traveling Salesman Problem with Drone (TSP-D). The proposed ICP algorithm decomposes a TSP-D solution into smaller segments called chainlets, each optimized individually by a dynamic programming...
Artificial compressibility method for the incompressible Navier-Stokes equations with variable density
We introduce a novel artificial compressibility technique to approximate the incompressible Navier-Stokes equations with variable fluid properties such as density and dynamical viscosity. The proposed scheme used the couple pressure and momentum, equal to the density times the velocity, as primary unknowns....